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# Software Engineer - AI & Agentic Systems

- **Company:** Cisco Systems, Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Experienced
- **Salary:** $167,700 - $245,200
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automated Storage and Retrieval Systems, Computer Programming, Machine Learning, Open Source Technology, OpenAI, Search Technologies, Software Engineering, Network Simulation, Computer Network Technologies, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Agentic-AI, Build Management, Containerization, Kubernetes, Information Technology, Ollama, Model Context Protocol, VLLM, Docker
- **Published:** November 8, 2026
- **Apply:** https://www.sanjosejobsite.com/job.asp?id=3505241279&tx=JK10599LFU&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Computer Science, Electrical Engineering, or related technical field with 4+ years of software development experience; OR Master's degree with 3+ years of software development experience.
 * Experience working with one or more of the following: cloud platforms, containerization (Docker/Kubernetes), CI/CD pipelines, and source-control workflows.
 * Experience building or integrating AI tool-calling architectures and protocols, such as Model Context Protocol (MCP) servers/clients or custom agent interfaces.

Preferred Qualifica tions

 * Experience with agent frameworks and LLM tool-calling architectures.
 * Hands on experience with vector databases and semantic search / RAG pipelines.
 * Familiarity with OpenAI/Anthropic model APIs, open-source model inference platforms (e.g., vLLM, Ollama), model request routing, or LLM fine-tuning techniques.
 * Domain knowledge in networking technologies, switch telemetry analysis, network simulation environments, or P4 programming.

## Description

We are seeking a Software Engineer to help our team design, build, and operate practical AI tools that improve how people find information, automate tasks, and integrate AI into their daily workflows.

Your Impact

 * Design and build AI-powered document query and knowledge-retrieval systems.
 * Develop user-facing Model Context Protocol (MCP) servers and agentic tools.
 * Automate engineering workflows and integrate AI capabilities.
 * Create specialized AI models and developer utilities for networking domains, including switch telemetry analysis, network simulation environments, and P4 language development tooling.